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Which model is most accurate in Cantabria?

In Cantabria, the Atlas Forecast is the most accurate this month: its average error on tomorrow's temperature is 1.4 °C, and its lead over the second is not down to chance.

Last 30 days (11 October to 9 November) · 7 stations from AEMET

Temperature

For today (0–24 h)

In Cantabria, the Atlas Forecast and ICON do about equally well on today's temperature (the first has an average error of 1.3 °C): the difference between them could be chance.

  1. 1Atlas Forecast (estimated)1.3 °C
  2. 2ICON1.4 °C
  3. 3ARPEGE (Météo-France)1.5 °C
  4. 4Model median1.5 °C
  5. 5ECMWF IFS1.8 °C
  6. 6Google AI (WeatherNext 2) (estimated)1.8 °C
  7. 7ECMWF AIFS (AI)1.8 °C
  8. 8GFS1.9 °C
  9. 9UKMO (Met Office)1.9 °C

7 stations · 30 days

For tomorrow (24–48 h)

In Cantabria, the Atlas Forecast is the most accurate this month: its average error on tomorrow's temperature is 1.4 °C, and its lead over the second is not down to chance.

  1. 1Atlas Forecast (estimated)1.4 °C
  2. 2ICON1.5 °C
  3. 3ARPEGE (Météo-France)1.6 °C
  4. 4Model median1.6 °C
  5. 5Google AI (WeatherNext 2) (estimated)1.8 °C
  6. 6ECMWF IFS1.8 °C
  7. 7ECMWF AIFS (AI)1.8 °C
  8. 8GFS1.9 °C
  9. 9UKMO (Met Office)2.0 °C

7 stations · 30 days

Average error in the temperature for each hour, at the stations in the area. The shorter the bar, the better. Highlighted: the leaders, where the difference between them cannot be put down to chance.

Wind

For today (0–24 h)

In Cantabria, ICON and ECMWF IFS do about equally well on today's wind (the first has an average error of 4.4 km/h): the difference between them could be chance.

  1. 1ICON4.4 km/h
  2. 2ECMWF IFS4.7 km/h
  3. 3Model median4.7 km/h
  4. 4Atlas Forecast (estimated)4.8 km/h
  5. 5ECMWF AIFS (AI)5.4 km/h
  6. 6GFS5.5 km/h
  7. 7UKMO (Met Office)5.6 km/h

7 stations · 30 days

For tomorrow (24–48 h)

In Cantabria, ICON, ECMWF IFS and the model median do about equally well on tomorrow's wind (the first has an average error of 4.5 km/h): the difference between them could be chance.

  1. 1ICON4.5 km/h
  2. 2ECMWF IFS4.7 km/h
  3. 3Model median4.7 km/h
  4. 4Atlas Forecast (estimated)4.8 km/h
  5. 5ECMWF AIFS (AI)5.0 km/h
  6. 6GFS5.5 km/h
  7. 7UKMO (Met Office)5.6 km/h

7 stations · 30 days

Rain

For today (0–24 h)

In Cantabria, the model median, ICON and GFS do about equally well on today's rain (the first has an average error of 0.6 l/m² per day): the difference between them could be chance.

  1. 1Model median0.6 l/m² per day
  2. 2ICON0.7 l/m² per day
  3. 3GFS0.8 l/m² per day
  4. 4ECMWF AIFS (AI)0.9 l/m² per day
  5. 5UKMO (Met Office)0.9 l/m² per day
  6. 6ARPEGE (Météo-France)1.0 l/m² per day
  7. 7ECMWF IFS1.0 l/m² per day

6 stations · 30 days

For tomorrow (24–48 h)

In Cantabria, the model median, ICON, GFS, Météo-France's ARPEGE, ECMWF IFS and the Met Office's UKMO do about equally well on tomorrow's rain (the first has an average error of 0.6 l/m² per day): the difference between them could be chance.

  1. 1Model median0.6 l/m² per day
  2. 2ICON0.8 l/m² per day
  3. 3GFS0.9 l/m² per day
  4. 4ARPEGE (Météo-France)1.0 l/m² per day
  5. 5ECMWF IFS1.0 l/m² per day
  6. 6UKMO (Met Office)1.0 l/m² per day
  7. 7ECMWF AIFS (AI)1.0 l/m² per day

6 stations · 30 days

Error in the total rain for each day, in litres per square metre.

The Atlas Forecast is active here: its error is an estimate based on the days when it could be verified, compared with the model median over the same hours.

Google's AI (WeatherNext 2) is now in the league. As we only compare it every 6 hours (that is how often it runs) and measure it at one station per province, its error is an estimate: the model median's error plus how much more or less Google's AI misses than the median at those hours.

See Santander in the dashboard

Weather in Cantabria

All towns in Cantabria · The league in the other provinces

How it is calculated

We compare what each model had forecast for the same day (0–24 h) and for the next day (24–48 h) with what the Meteocat (in Catalonia) and AEMET weather stations measured over the last 30 days. They all compete over the same hours. Being first is not enough to win: the difference has to pass a day-by-day statistical test (otherwise it could be chance) and at least 14 days are needed.

Winning this month does not mean winning every month: every model has its good and bad days. More detail in Accuracy and, for your exact spot, in «Which model is right here?» in the dashboard.